/*
 * Javlov - a Java toolkit for reinforcement learning with multi-agent support.
 * 
 * Copyright (c) 2009 Matthijs Snel
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package net.javlov;

public interface RewardFunction {

	/**
	 * Called before the environment will execute the action for the agent.
	 * 
	 * @param a the action
	 * @param agent the agent
	 */
	public void preAction(Action a, Agent agent);
	
	/**
	 * Called after the action is executed, should return the reward for that action.
	 * @return the reward.
	 */
	public double calculateReward();
}
